24 citations · 69 across the 18 of their papers we have counts for
4 papers · 1 filter
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms
Qing Ye, Weijun Xie
As an important problem in modern data analytics, classification has witnessed varieties of applications from different domains. Different from conventional classification approach…
Exact and Approximation Algorithms for Sparse PCA
Yongchun Li, Weijun Xie
Sparse PCA (SPCA) is a fundamental model in machine learning and data analytics, which has witnessed a variety of application areas such as finance, manufacturing, biology, healthc…
Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees
Yongchun Li, Weijun Xie
This paper studies a classic maximum entropy sampling problem (MESP), which aims to select the most informative principal submatrix of a prespecified size from a covariance matrix.…
Approximation Algorithms for D-optimal Design
Mohit Singh, Weijun Xie
Experimental design is a classical statistics problem and its aim is to estimate an unknown -dimensional vector from linear measurements where a Gaussian noise is introduced…